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133,111 to 133,120 of 137,605 Results
radial_wind_measurements.h5
Jun 4, 2019 - Replication Data for: Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity
Hierarchical Data Format - 7.1 MB - MD5: ea7c0d2a2edef52aac169bace7d5d147
Radial wind measurements from a meteor radar network, 2018-11-05T00:00:00Z to 2018-11-06T00:00:00Z . Produced with software described in: Vierinen, J., Chau, J. L., Pfeffer, N., Clahsen, M., and Stober, G.: Coded continuous wave meteor radar, Atmos. Meas. Tech., 9, 829-839, https://doi.org/10.5194/amt-9-829-2016, 2016.
radial_wind_measurements.txt
Jun 4, 2019 - Replication Data for: Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity
Plain Text - 17.1 MB - MD5: 9ee7711436257da7da83dfb9581987ca
The contents of radial_wind_measurements.h5 in ASCII format.
Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content
May 27, 2019 - UiT The Arctic University of Norway
Ancin Murguzur, Francisco Javier; Bison, Marjorie; Smis, Adriaan; Böhner, Hanna; Struyf, Eric; Meire, Patrick; Bråthen, Kari Anne, 2019, "Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content", https://doi.org/10.18710/CXRCUW, DataverseNO, V1
Here we provide a first step towards a global arctic-alpine NIRS model of foliar N, P and C content integrating 97 species, nine functional groups, three levels of phenology, a range of habitats and two biogeographic regions (the Alps and Fennoscandia). The precision of the resulting NIRS method meet international requirements, indicating one NIRS...
00_ReadMe.txt
May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content
Plain Text - 1.4 KB - MD5: 893f3e4ee9fc40672d200cc9f36b1310
Carbon .zip
May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content
ZIP Archive - 15.8 MB - MD5: 170ead1f8b99dd8dde99e601200423d4
Data and scripts for C calibration and prediction
Nitrogen .zip
May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content
ZIP Archive - 18.4 MB - MD5: b7edfe5c5c74ee3f1c4de86d123f5735
Data and scripts for N calibration and prediction
Phosphorus .zip
May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content
ZIP Archive - 13.0 MB - MD5: 7f7703b187411f4ab5db784965cb9bc8
Data and scripts for P calibration and prediction
University of Bergen
University of Bergen logo
May 24, 2019
R-Data for: Heritability of head size in a hunted large carnivore, the brown bear (Ursus arctos)
May 24, 2019 - University of South-Eastern Norway
Zedrosser Andreas, 2019, "R-Data for: Heritability of head size in a hunted large carnivore, the brown bear (Ursus arctos)", https://doi.org/10.23642/USN.7770785, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: Data set for publication in Evolutionary Applications. Short abstract: Wild animal populations experience selection pressures from both natural and anthropogenic sources. The availability of extensive pedigrees is increasing along with our ability to quantify the heritability and evolvability of phenotypic traits and...
Dat.EvolAppl.RData
May 24, 2019 - R-Data for: Heritability of head size in a hunted large carnivore, the brown bear (Ursus arctos)
R Data - 47.5 KB - MD5: 8263ede3d2138d4f1bcdcf1f210814cc
Dat.EvolAppl.RData
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